Biomarker-driven cancer research is common in the current literature. Much of this research is a result of the increase in genomic and proteomic high-throughput technologies, which have increased our knowledge and also produced an abundance of data with unclear clinical significance. Immunohistochemistry-based assessment of protein expression is a natural validation method of expression-profiling data that is easily performed on tissue samples collected prospectively or from archived samples. Coupled with tissue microarray technology and the increasing number of available automated, quantitative systems to read these arrays, we now have an efficient method of validating biomarkers for prognostic and predictive capabilities and for the identification of drug development targets.